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- Currently displaying 21 - 40 of 1303 publications
Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry
– Royal Society Open Science
(2024)
11,
231722
(doi: 10.1098/rsos.231722)
Can physics-informed neural networks beat the finite element method?
– IMA J Appl Math
(2024)
89,
143
(doi: 10.1093/imamat/hxae011)
Generalization-a key challenge for responsible AI in patient-facing clinical applications
– NPJ Digit Med
(2024)
7,
126
(doi: 10.1038/s41746-024-01127-3)
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.
– Journal of the American Statistical Association
(2024)
120,
395
A new computational framework for log-concave density estimation
– Mathematical Programming Computation
(2024)
16,
185
(doi: 10.1007/s12532-024-00252-0)
Non-contact, portable and stand-off infrared thermal imager for security scanning applications
– AIP Advances
(2024)
14,
045314
(doi: 10.1063/5.0188862)
Automated detection and classification of concealed objects using infrared thermography and convolutional neural networks
– Sci Rep
(2024)
14,
8353
(doi: 10.1038/s41598-024-56636-8)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
– IEEE Transactions on Neural Networks and Learning Systems
(2024)
35,
5306
(doi: 10.1109/TNNLS.2022.3203315)
Recent methodological advances in federated learning for healthcare
– Patterns (New York, N.Y.)
(2024)
5,
101006
(doi: 10.1016/j.patter.2024.101006)
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review
– The Lancet Digital Health
(2024)
6,
e131
Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities.
– Clinical Pharmacology & Therapeutics
(2024)
115,
710
(doi: 10.1002/cpt.3159)
Optimal nonparametric testing of Missing Completely At Random and its connections to compatibility
– Annals of Statistics
(2023)
51,
2170
(doi: 10.1214/23-AOS2326)
Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.
– Anesthesia & Analgesia
(2023)
139,
174
(doi: 10.1213/ANE.0000000000006753)